def __init__(self,
auto=True,
sparse_mode=False,
file_name="",
read_from=None):
EMSymViewerWidget.__init__(self, filename=file_name)
#Replacing the EM3DSymModel that was created in the base class
euler_explorer = EMEulerExplorer(self,
auto,
sparse_mode,
file_name=file_name,
read_from=read_from)
self.model = euler_explorer
euler_explorer.regen_dl()
def main():
progname = os.path.basename(sys.argv[0])
usage = """prog <simmx file> <projection file> <particles file>
This program allows you to look at per-particle classification based on a pre-computed similarity
matrix. If a particle seems to be mis-classified, you can use this program to help figure out
why. It will display a single asymmetric triangle on the unit sphere, with cylinders representing
the similarity value for the selected particle vs. each possible reference projection. Use the
normal middle-click on the asymmetric unit viewer for more options.
"""
parser = EMArgumentParser(usage=usage, version=EMANVERSION)
parser.add_argument(
"--ppid",
type=int,
help="Set the PID of the parent process, used for cross platform PPID",
default=-1)
parser.add_argument(
"--verbose",
"-v",
dest="verbose",
action="store",
metavar="n",
type=int,
default=0,
help=
"verbose level [0-9], higner number means higher level of verboseness")
(options, args) = parser.parse_args()
logid = E2init(sys.argv, options.ppid)
em_app = EMApp()
window = EMSymViewerWidget()
explorer = EMSimmxExplorer(window)
window.model = explorer
if len(args) > 0: explorer.set_simmx_file(args[0])
if len(args) > 1: explorer.set_projection_file(args[1])
if len(args) > 2: explorer.set_particle_file(args[2])
em_app.show()
em_app.execute()
E2end(logid)